Please use this identifier to cite or link to this item:
|Title:||Discrete-time neural identifier for electrically driven nonholonomic mobile robots|
|Abstract:||A nonlinear discrete-time neural identifier for discrete-time unknown nonlinear systems, in presence of external and internal uncertainties are presented. This identifier is based on a discrete-time recurrent high order neural network (RHONN) trained with an extended Kalman filter (EKF)-based algorithm. Applicability of the scheme is illustrated via simulation for an electrically driven nonholonomic mobile robot. © 2011 IEEE.|
|Appears in Collections:||Producción científica UdeG (prueba)|
Files in This Item:
There are no files associated with this item.
Items in RIUdeG are protected by copyright, with all rights reserved, unless otherwise indicated.